AgentDB Vector Search SKILL.md skillA

AgentDB Vector Search from spencermarx/open-code-review is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add spencermarx/open-code-review/AgentDB Vector Search@git:20260304.1a73d7f

Pins git:20260304.1a73d7f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
spencermarx/open-code-review
Path
.claude/skills/agentdb-vector-search/SKILL.md
Versions recorded
1
Latest version
git:20260304.1a73d7f, committed Mar 4, 2026
Size
8,963 bytes
Repository stars
382
License
Apache-2.0

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AgentDB Vector Search

## What This Skill Does

Implements vector-based semantic search using AgentDB's high-performance vector database with **150x-12,500x faster** operations than traditional solutions. Features HNSW indexing, quantization, and sub-millisecond search (<100µs).

## Prerequisites

- Node.js 18+
- AgentDB v1.0.7+ (via agentic-flow or standalone)
- OpenAI API key (for embeddings) or custom embedding model

## Quick Start with CLI

### Initialize Vector Database

```bash
# Initialize with default dimensions (1536 for OpenAI ada-002)
npx agentdb@latest init ./vectors.db

# Custom dimensions for different embedding models
npx agentdb@latest init ./vectors.db --dimension 768  # sentence-transformers
npx agentdb@latest init ./vectors.db --dimension 384  # all-MiniLM-L6-v2

# Use preset configurations
npx agentdb@latest init ./vectors.db --preset small   # <10K vectors
npx agentdb@latest init ./vectors.db --preset medium  # 10K-100K vectors
npx agentdb@latest init ./vectors.db --preset large   # >100K vectors

# In-memory database for testing
npx agentdb@latest init ./vectors.db --in-memory
```

### Query Vector Database

```bash
# Basic similarity search
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add spencermarx/open-code-review/AgentDB Vector Search@sha256:beecdac71c19e0ed

The line at the top of this page pins the label git:20260304.1a73d7f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2d6u5oiam2anhw7y.svg)](https://markdownregistry.com/a/art_2d6u5oiam2anhw7y)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 4, 2026.

versioncommittedcommitsizeaudit
git:20260304.1a73d7f latest2026-03-04 1a73d7f 8,963 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8963 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

spencermarx/open-code-review · 382 stars · license Apache-2.0 · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2d6u5oiam2anhw7y
GET https://markdownregistry.com/api/v1/resolve?ref=spencermarx/open-code-review/AgentDB Vector Search
GET https://markdownregistry.com/api/v1/blob/beecdac71c19e0ed3506737d5cb8704e6ceeb7dfa6052b425607cda0c548a5af

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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